Quality assurance for the analytical data of micro elements in food

The micro element content of food is an important quality index due to the action of these elements on human health. In this article, we discuss how to ensure the reliability of analytical data on micro elements in order to truly represent the condition of food. Sampling, treatment of the analytical sample, selection of the analytical method, standard solution, and certified reference material, blank test, calibration of the instrument and equipment, application of the quality control chart, assessment of the final analytical result, and quality assurance system are briefly described. Received: 5 July 2001 Accepted: 19 November 2001     

数据流图的存贮模型

本文给出了一个数据流图的存贮模型。并在此基础上，给出了数据流图的操作算法。可以解决ＳＡ方法中的文档管理。     

Liquid-liquid phase equilibria of aqueous two-phase systems containing salts and polyethylene glycol

Liquid-liquid phase equilibria of the ternary systems: (a) polyethylene glycol - ammonium sulfate- water and (b) polyethylene glycol - sodium carbonate -water have been determined experimentally at 15°, 25°, 35° and 45°C and for two different molecular weights of the polymer (Avg. M.W. 1000 and 2000). Details of the glass cell and of the equilibration and analytical procedures used are described. Equilibrium data along with phase diagrams are presented. Finally the effect of temperature and of the molecular weight of the polymer are also discussed.     

太阳电池I－V数据采集系统

本文利用ＩＥＥＥ－４８８接口板，Ｋｅｉｔｈｌｅｙ６１７静电计，ＩＢＭ－ＰＣ微机，编程实现了太阳电池Ｉ－Ｖ数据的自动采集、存储．以ａ－Ｓｉ：ＨＰｉｎ型太阳电池为样品，计算出相应的电池参量，验证了该系统的可行性和准确性．     

Neuro-fuzzy approach to processing inputs with missing values in pattern recognition problems

An approach to dealing with missing data, both during the design and normal operation of a neuro-fuzzy classifier is presented in this paper. Missing values are processed within a general fuzzy min–max neural network architecture utilising hyperbox fuzzy sets as input data cluster prototypes. An emphasis is put on ways of quantifying the uncertainty which missing data might have caused. This takes a form of classification procedure whose primary objective is the reduction of a number of viable alternatives rather than attempting to produce one winning class without supporting evidence. If required, the ways of selecting the most probable class among the viable alternatives found during the primary classification step, which are based on utilising the data frequency information, are also proposed. The reliability of the classification and the completeness of information is communicated by producing upper and lower classification membership values similar in essence to plausibility and belief measures to be found in the theory of evidence or possibility and necessity values to be found in the fuzzy sets theory. Similarities and differences between the proposed method and various fuzzy, neuro-fuzzy and probabilistic algorithms are also discussed. A number of simulation results for well-known data sets are provided in order to illustrate the properties and performance of the proposed approach.     

p+209Bi核反应微观数据的理论计算

利用光学模型、激光模型、蒸发模型及扭曲波玻恩近似理论,对入射能量从阈能到300MeV,p+²⁰⁹Bi的中子反应截面、剩余核截面、出射粒子的多重数进行了理论计算及分析,并将计算结果与实验数据进行了比较.同时得到一组能量到50?0MeV与实验数据符合很好的光学势参数.     

知识发现中一种变化趋势模型的算法研究

在时序数据库中,有许多成熟的技术和方法用来对布尔型属性之间的关系进行挖掘,但对于数值型属性变化趋势关联关系的研究却不是很多.本文提出了一种数值型属性变化趋势的研究模型QMP(QuantityMovementPattern),依据该模型可利用数据挖掘算法发现不同数值型属性之间变化趋势之间的关系.文中分析了该模型的几种实现算法,并给出了一种快速实现算法及实验数据.     

WebGIS实现方法与应用研究

在互联网高速发展的时代，基于WWW的地理信息系统应运而生。主要介绍了WebGIS的发展历程、技术特点和系统组织结构，并结合一个实际系统对其具体实现过程作了较详细的阐述。该系统构架在开发过程中取得了较好的效果。     

~2样本深度的基本性质

本文讨论由L2深度修正得到的L2深度相应的样本深度的性质,得到了样本深度的相合性和渐近正态性,并证明了它在任意紧集上的一致相合性．最后,基于上述性质简要讨论了样本深度等高的一些性质．     

基于改进的模糊核C-均值算法在商业银行客户细分中的应用

随着商业银行信息化进程中数据集中阶段任务的完成,各商业银行将面临如何从大量的数据中提取有价值的信息和知识以提高企业决策质量和市场竞争力,数据挖掘技术的出现使企业“数据变知识”成为可能。文章主要结合商业银行的实际,探讨了核聚类方法在提高银行服务成功率等方面的应用。